In the context of the increasing threat of waterlogging, based on the existing hydrological regulation service capacity of the ecosystem, the identification of urban waterlogging risks and areas in urgent need of planning and optimization of flood prevention can provide a scientific basis for the efficient reduction of urban waterlogging risk and the use of planning measures to prevent flooding. Data overlay, hydrologic simulation and formula calculation methods were used to unify the urban primary rainfall and flooding supply capacity, as well as rainfall and flooding demand levels into the same assessment system. Combining rainfall and subsurface type, the runoff curve model was used to calculate the neighborhood surface runoff regulation rate to generate the supply capacity assessment results; and the hazard, exposure, and vulnerability indices calculated from GIS hydrologic simulation results were used to generate the demand level assessment results. Based on the results of matching supply and demand for the 1-in-3-year and 1-in-50-year scenarios in four central districts of Shijiazhuang city, the planning intervention level of urban block scale was delineated, and corresponding planning strategies were proposed. The results show that the low supply and high demand blocks in the four municipal districts of Shijiazhuang City are distributed in a point-like aggregation under the scenario of 1-in-3-year period, while under the scenario of 1-in-50-year period, the blocks along the Beijing-Guangzhou Railway line show a longitudinal aggregation pattern. Under both scenarios, the high planning intervention level blocks are concentrated in Yuandong Street, Penghou Street, Donghua Street in Qiaoxi District, Changfeng Street, Jianbei Street in Changan District, Yuxiang Street and Jianhua South Street in Yuhua District. Based on the planning intervention level, relative relationship between supply and demand, and the causes of supply and demand problems, we propose nine types of planning intervention strategies for the 1-in-3-years and 1-in-50-years rain and flood scenarios, which provide optimization directions for cities to cope with waterlogging disasters.